To compare NaN (Not a Number) values in Python, you can use the `math.isnan()`

function or the `numpy.isnan()`

function, depending on your requirements. Here’s an example:

Using `math.isnan()`

:

```
import math
# Define NaN values
nan_value_1 = float('nan')
nan_value_2 = float('nan')
# Compare NaN values
is_equal = math.isnan(nan_value_1) and math.isnan(nan_value_2)
# Print the result
print(f"Are NaN values equal? {is_equal}")
```

Using `numpy.isnan()`

:

```
import numpy as np
# Define NaN values
nan_value_1 = np.nan
nan_value_2 = np.nan
# Compare NaN values
is_equal = np.isnan(nan_value_1) and np.isnan(nan_value_2)
# Print the result
print(f"Are NaN values equal? {is_equal}")
```

In both examples:

- Two NaN values are defined,
`nan_value_1`

and`nan_value_2`

. - The
`math.isnan()`

function or`numpy.isnan()`

function is used to check if each value is NaN. - The result of the comparison is stored in the
`is_equal`

variable. - Finally, the result is printed to the console.

Both `math.isnan()`

and `numpy.isnan()`

functions return `True`

if the value passed to them is NaN and `False`

otherwise. If you have only one NaN value to compare, you can use the respective function directly without the need for the `and`

operator.

It’s important to note that NaN values are considered unequal to any other value, including other NaN values. So, when comparing NaN values, you should use the `math.isnan()`

or `numpy.isnan()`

function specifically designed for handling NaN values.

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